AI Strategizing and Readiness

Nils Urbach (), Daniel Feulner (), Valentin Mayer () and Simon Meierhöfer ()
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Nils Urbach: Frankfurt University of Applied Sciences
Daniel Feulner: University of Bayreuth
Valentin Mayer: University of Bayreuth
Simon Meierhöfer: University of Bayreuth

Chapter 8 in Managing Artificial Intelligence, 2026, pp 161-179 from Springer

Abstract: Abstract This chapter begins by introducing the concept of AI strategizing and presents a taxonomy that helps organizations conceptualize the design space of an AI strategy along four dimensions: scope, scale, speed, and source. Building on this, this chapter defines AI readiness as a multidimensional construct that captures an organization’s preparedness to successfully adopt and scale AI. The final section analyzes key factors that influence AI readiness—including strategic alignment, resource availability, and cultural adaptability—and discusses how these factors can be assessed and developed to support effective AI use in practice.

Date: 2026
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DOI: 10.1007/978-3-032-13308-3_8

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